Designing, developing, and implementing generative AI models and algorithms utilizing state-of-the-art techniques such as GPT, VAE, and GANs
Colaborating with cross-functional team to define the AI/Gen I requirements
Optimizing the existing GenAI models for performance improvement, scalability, and efficiency
Develop and maintain the AI Pipeline that includes data processing, feature extraction, model training and evaluation
Collaboration with software engineering and operations teams to ensure seamless integration and deployment of AI models
Develop the documentation like technical specification, user guides, technical architecture, etc
Skills
Bachelor’s or master’s degree in computer science, Engineering, or a related field
Minimum 5 years of experience in Data Science and Machine Learning
In-depth knowledge of machine learning, deep learning, and generative AI techniques
Knowledge and experience of development and implementing Generative AI models
Proficiency in programming languages such as Python, R, and frameworks like TensorFlow, PyTorch or Keras
Experience with natural language processing (NLP) techniques and tools, such as SpaCy, NLTK, or Hugging Face
Strong understanding of frameworks such as BERT, GPT, or Transformer models
Familiar with cloud-based platforms and services, such as AWS, GCP, or Azure
Bachelor's